Method of fingerprint and voiceprint based decision level fusion recognition
Because of strong complementarity in the recognition environment and the low correlation characteristics of the two features,a fingerprint and voiceprint based decision level fusion recognition method was proposed.After extracting the features and recognition of corresponding fingerprint and voicepr...
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Format: | Article |
Language: | zho |
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Beijing Xintong Media Co., Ltd
2018-03-01
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Series: | Dianxin kexue |
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Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018130/ |
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author | Jianwu ZHANG Jiajia YANG Zhendong WU |
author_facet | Jianwu ZHANG Jiajia YANG Zhendong WU |
author_sort | Jianwu ZHANG |
collection | DOAJ |
description | Because of strong complementarity in the recognition environment and the low correlation characteristics of the two features,a fingerprint and voiceprint based decision level fusion recognition method was proposed.After extracting the features and recognition of corresponding fingerprint and voiceprint,the second comparison of choosing model (SCCM) was used to classify at the decision-making level and judge whether to enable voiceprint recognition according to the category,reduced the average data processing volume of the dual-mode fushion system by 32.8%.Experiments applied to FVC2002DB1 fingerprint library and self-collecting voiceprint library.The experimental results show that the multi-biometrics fusion effectively solves the single-modal recognition limitation and the recognition rate improves nearly 5.08% and 4.60% as well as get a more stable system. |
format | Article |
id | doaj-art-6cfbd789abbd42bca40b955a0b816781 |
institution | Kabale University |
issn | 1000-0801 |
language | zho |
publishDate | 2018-03-01 |
publisher | Beijing Xintong Media Co., Ltd |
record_format | Article |
series | Dianxin kexue |
spelling | doaj-art-6cfbd789abbd42bca40b955a0b8167812025-01-15T03:04:58ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012018-03-0134324059596312Method of fingerprint and voiceprint based decision level fusion recognitionJianwu ZHANGJiajia YANGZhendong WUBecause of strong complementarity in the recognition environment and the low correlation characteristics of the two features,a fingerprint and voiceprint based decision level fusion recognition method was proposed.After extracting the features and recognition of corresponding fingerprint and voiceprint,the second comparison of choosing model (SCCM) was used to classify at the decision-making level and judge whether to enable voiceprint recognition according to the category,reduced the average data processing volume of the dual-mode fushion system by 32.8%.Experiments applied to FVC2002DB1 fingerprint library and self-collecting voiceprint library.The experimental results show that the multi-biometrics fusion effectively solves the single-modal recognition limitation and the recognition rate improves nearly 5.08% and 4.60% as well as get a more stable system.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018130/multi-biometrics systemfeature selectionsecond comparison of choosing modeldecision-making level |
spellingShingle | Jianwu ZHANG Jiajia YANG Zhendong WU Method of fingerprint and voiceprint based decision level fusion recognition Dianxin kexue multi-biometrics system feature selection second comparison of choosing model decision-making level |
title | Method of fingerprint and voiceprint based decision level fusion recognition |
title_full | Method of fingerprint and voiceprint based decision level fusion recognition |
title_fullStr | Method of fingerprint and voiceprint based decision level fusion recognition |
title_full_unstemmed | Method of fingerprint and voiceprint based decision level fusion recognition |
title_short | Method of fingerprint and voiceprint based decision level fusion recognition |
title_sort | method of fingerprint and voiceprint based decision level fusion recognition |
topic | multi-biometrics system feature selection second comparison of choosing model decision-making level |
url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018130/ |
work_keys_str_mv | AT jianwuzhang methodoffingerprintandvoiceprintbaseddecisionlevelfusionrecognition AT jiajiayang methodoffingerprintandvoiceprintbaseddecisionlevelfusionrecognition AT zhendongwu methodoffingerprintandvoiceprintbaseddecisionlevelfusionrecognition |